The Design Of Beamformer Based On Sparse Signal

In order to improve the performance of the system, the modern array radarcontinue to increase the signal bandwidth, the number of array elements and arrayaperture.In the Nyquist sampling theorem framework,it will certainly bring a highsampling rate and large amount of data.This paper applies compression sampling theoryto the array radar beamforming structure, and designs a space-time two-dimensionalcompression of the beamformer.Firstly we extract the mathematical model of space-time two-dimensionalcompression that sparse in angle domain,and design the basic structure of thebeamformer.Then four existed analog information converter (Analog-to-Information theConverter AIC) structure are analyzed and compared.Respectively selecting direct AICand segmented AIC as spatial domain compressive strcture and time domaincompressive structure.Then this paper makes the simulation of the direction of thearrival (DOA) estimation respectively based on the spatial domain compression, timedomain compression and space-time two-dimensional compression.The simulationresults show that by applying compressed sampling techniques we can achieve theaccurate estimation of DOA at the same time reduce the number of the spatial domainarray element channel and time domain sampling points.Finally, the core operation unit of the proposed space-time two-dimensionalcompression array structure are designed preliminary.Discrete components liketransistors are used to design the analog adder-subtractor and the analog multiplier thatapplied to the RF domain.The simulation results show that the design of the operationalcircuit can realizes a predetermined operational function.